Gender: Male 
Age: 25-34
Nationality: United Kingdom
Ethnicity: Black or African American 
Marital status: Married 
First language: English 
Religion: Christian 
Education: Graduate degree
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 6
Home: Rent 
Employment: Employed full time
Occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations);Skilled agricultural, forestry and fishery workers (those harvest, grow, breed, or produce a variety of animal husbandry products)
Mother's occupation: Craft related trades workers (those who produce or process foodstuffs, textiles, wooden, metal and other articles, including handicraft goods, and apply specific technical and practical knowledge and skills to construct and maintain buildings)
Father's occupation: Craft related trades workers (those who produce or process foodstuffs, textiles, wooden, metal and other articles, including handicraft goods, and apply specific technical and practical knowledge and skills to construct and maintain buildings)
Hobbies: Visit to stately homes;Go to museums and galleries;Exercise;Watch sports 
Devices used daily: Laptop;Smartphone;Smartwatch 
NLP tools known: Grammar checker (i.e., correcting grammar mistakes);Spell checker (i.e., correcting misspellings);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools they would find useful: Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
Frequency of LLM use: Every day
LLMs used: ChatGPT;Google Gemini 
LLM use cases: Writing (e.g., composing emails);Solving math or logical problems;Analyze data;Learning (e.g., explaining complex concepts in simple terms);Digital content creation (e.g., creation of social media content);Translation;Coding 
Contexts of LLM use: Work;School/University;Learning;Technical;Personal 
Prompt 1: This will facilitate weighting of results based stakeholders understanding of the Programme’s contribution, hence arriving at a portfolio of results that accurately reflect change attributed to the Programme. IMPROVE GRAMMAR ONLY
Prompt 2: Which bible verses should I use on the group icon?
Prompt 3: IF YOU ARE WORKING FOR MULTIPLE CUSTOMERS HOW DO YOU SEGREGATE THEIR DATA?
Prompt 4: How to pray at the beginning of service
Prompt 5: Does furniture depreciate or appreciate?
Prompt 6: shortcut for hiding excess cells in excel
Prompt 7: How to hide columns in excel except the one with info
Prompt 8: TALK ABOUT THE MAM RAINS THAT CAM AFTER LONG DROUGHT]
Prompt 9: HOW DOES RWS WORKZONE WORK
Prompt 10:  Deletion: how do you delete the materials received for translation and the work product?